Aerospace Control and Guidance Systems Committee

Announcements


You must first log in to access prior meeting presentations, register for a meeting, or nominate some for the Ward Award.


If you do not have a login account, or cannot remember the email address associated with your account, please click on the Application Form link below.

 
 

Login

 

E-mail: 

 

Password: 


Forgot your password?

Application Form


 

Site Search

Search our site:
 
 

Upcoming Events


Register for Meeting 133
(Coming Soon!)

 
 

Photos


Meeting Highlights New!

Subcommittee S

 
 

Prior Meetings

Abstracts may be viewed by anyone. Presentations are only available to active members who have logged in.

Meeting 132
(coming soon)

Meeting 131

Meeting 130

Meeting 129

Meeting 128

Meeting 127

Meeting 126

Meeting 125

Meeting 124

Meeting 123

Meeting 122

Meeting 121

Meeting 120

Meeting 119

Meeting 118

Meeting 117

Meeting 116

Meeting 115

Meeting 114

Meeting 113

Meeting 112

Meeting 111

Meeting 110

Meeting 109

Meeting 108

Meeting 107

Meeting 106

Meeting 105

Meeting 104

Meeting 103

Meeting 102

Meeting 101

Meeting 100

Meeting 99

Meeting 98

Meeting 97

Meeting 96

Meeting 95

Meeting 94

Meeting 93

Meeting 92

 
HomeWard Memorial AwardPlanning Advisory BoardDownloadsConstitution and By-LawsAboutHistoryContact Us

  ← Return to agenda

MeetingACGS Committee Meeting 122 - Savannah, GA - October 2018
Agenda Location9 SUBCOMMITTEE E – Flight, Propulsion, and Autonomous Vehicle Control Systems
9.3 Homotopy and Parallelization for Footprints for Hypersonic Vehicles
TitleHomotopy and Parallelization for Footprints for Hypersonic Vehicles
PresenterMike Bolander
AffiliationAFRL
Available Downloads*presentation
*Downloads are available to members who are logged in and either Active or attended this meeting.
AbstractTo solve optimal control problems for hypervelocity vehicles in a computationally efficient manner, it is common to make assumptions that simplify the problem, such as flight at maximum lift-to-drag ratio or equilibrium glide. Such assumptions are usually taken to reduce the dimensionality of the dynamical system, and may result in analytical expressions for the control that require a numerical search over a small number of parameters instead of solving the full-order optimal control problem. However, these assumptions have been shown to not always result in favorable comparisons with the numerical solution of the “full” optimal control problem. This paper addresses the problem of trajectory optimization by utilizing known integrals-of-motion and an analysis of the behavior of the co-states for a family of trajectories. It is shown that it is possible to simultaneously reduce the dimensionality of the optimal control problem without affecting the underlying physics, and yet also provide a quality initial guess for the co-states. The latter is important for the solution of optimal control problems using indirect methods



Copyright © 2024 | Question? webmaster@acgsc.org